Predictor Model in Consumer Shopping by Vending Machines- the Indian Context
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International Journal of Application or Innovation in Engineering & Management (IJAIEM) Web Site: www.ijaiem.org Email: [email protected] Volume 8, Issue 8, August 2019 ISSN 2319 - 4847 Predictor Model in Consumer Shopping by Vending Machines- the Indian Context Dr D Malmarugan1 1Associate Professor, MBA Department, CMR Institute of Technology, Bengaluru560037, India Abstract According to Ministry of Food Processing Industries, the Food and Grocery market of India is the sixth largest market in the world with retail contributing 70% of the sales. It constitutes the largest proportion of India’s retail sector and is expected to reach Rs 61 lakh crores by 2020. With an increase in the disposable incomes, increase in young population, aspiring for better standard of living, more number of women in the workforce, Indian consumers have become more sophisticated, informed and aware. This study aims to identify and study the factors influencing innovative retailing practices in Grocery Retailing. Researchers’ have attempted to identify factors affecting Indian consumers’ Recommendation of purchase behavior from various perspectives. Making use of Innovative channels to reach consumers have been studied. There is little research in the literature available, on the factors influencing the Recommendation of Purchase Grocery retailing through Vending Machines , in the Indian Context. The methodology used is descriptive and the Willingness to recommend the usage of Vending Machines in Grocery retailing is influenced by factors like Reliability, Access and Monetary Aspects. This study will shed more light on the factors influencing Recommendation of Purchase in Grocery Retailing through Vending Machines in the Indian Context. This research will have Implications both in academics and Industry. This Research has both Managerial and Theoretical Contributions. While studying the factors influencing Recommending of Purchase in Grocery retailing through Vending Machines, is seen as Theoretical, Applications in the Industry on areas of focus in Recommendations of Purchase by Vending Machine for Retailers are the Managerial Implications. Keywords: Vending Machines, Retailing, Factors, Predictor Model. 1. Introduction According to Ministry of Food Processing Industries, the food and grocery market of India is the sixth largest market in the world with retail contributing 70% of the sales. It constitutes the largest proportion of India’s retail sector and is expected to reach Rs 61 lakh crores by 2020 (HKTDC Report,2017). With an increase in the disposable incomes, increase in young population, urge for better standard of living, more number of women in the workforce, Indian consumers have become more sophisticated, informed and aware. Thus, they are more attracted toward organized retail arrangement characterized by better quality of products, longer shelf life, better shopping experiences with music, lighting, courteous and friendly employees, car parking facilities, etc. Customers today have become more informed which makes their expectations and perceptions with respect to service providers more oriented to change, thus, making the process of measurement and management of service quality a difficult task for the service provider (Vargo&Lusch, 2004). The traditional differentiation tools used by grocery retailers such as low price, discounts and promotions, etc. have become almost redundant as the same is leading to a vicious circle of price war. As the offerings of grocery retailers are quite similar, there is a great need to make efforts for the betterment of service quality so as to better satisfy the customers and make them loyal.The Vending business has developed through the years, which involves the Vending Machine down to the final consumer (Fernandes, Silva, Reis, & Leao, 2016). Vending machines are one of the most important modern selling strategies around the world. Thus, marketers and retailers are continuously improving the retail effectiveness and efficiency through vending machines. (Takei, Hewitt, Bantog, & Becker, 2011). This promotes the application of marketing techniques such as cross-selling and up-selling. Cross-selling is selling of an additional product whereas up-selling is selling a product at a higher price. (Stoyanov, 2014). However, with the growth of global competition, the productivity of any business concern depends upon the behavioral aspect of consumers (Dr. Nath & Dr. Sahu, 2015).There is little research in the literature available, on the factors influencing the Recommendation of Purchase Grocery retailing through Vending Machines , in the Indian Context. This study will shed more light on the factors influencing Recommendation of Purchase in Grocery retailing through Vending Machines in the Indian Context. This research will have Implications both in academics and Volume 8, Issue 8, August 2019 Page 47 International Journal of Application or Innovation in Engineering & Management (IJAIEM) Web Site: www.ijaiem.org Email: [email protected] Volume 8, Issue 8, August 2019 ISSN 2319 - 4847 Industry.This Research has both Managerial and Theoretical Contributions. While studying the factors influencing Recommending of Purchase in Grocery retailing through Vending Machines, is seen as Theoretical, Applications in the Industry on areas of focus in Recommendations of Purchase by Vending Machine for Retailers are the Managerial Implications 2. Literature Review The application of new technologies in retailing is beneficial to both consumers and retailers since these technologies can enhance consumer in-store behaviour and decision-making, improve the collection and exchange of information, provide opportunities for the development of new products and services as well as new contacts through interactive tools between retailers and customers (Pantano&Migliarese, 2014;Pantano&Timmermans, 2014; Pantano, 2010).Roy et al. (2016)explore the main factors that formulate customers' experience of smart retail technologies. Furthermore, Vrontis et al. (2016) point out that smart retailing is as expected changing consumer behavior throughout the decision process stages (search, purchase, consumption and after-sales process) as well as becoming a vital innovative strategic approach for retailers' success. Moreover, the concept of smart retailing goes beyond the application of a modern technology to the retailing process by including a further level of “smartness” related to the employment of the technology (Pantano & Timmermans, 2014). When the world is moving around with advancement, time is the most important resource of all. It becomes unavoidable to save the time by all possible methods. In places such as shopping malls, Canteens and Retail Outlets, automation is incorporated for the automatic delivery of the products to the customers. A Smart Vending Machine is the one that dispenses items such as snacks, beverages, consumer products, and even books and to customers automatically, after the customer inserts currency or credit card into the machine. For instance, the vending machines are used in now a day to ease delivery. However, the technology is improved, now also we are seeing the traditional method in distribution of newspaper. Cool drink vending machine, ice-cream vending machine, chocolate vending machine, water/tea/coffee vending machines, etc. can be increasingly found to encroach the shops now a days, which reduces the time and also reduce the human effort required to recognize, search and deliver the product.(Nimisha,et al ,2017). The idea of Vending Machine is to have an automated service process, which is often referred to automated retail trade, automatic merchandising, and automatic sale(Stoyanov, 2014). The mechanism of a Vending Machine is to dispense items such as snacks, cold drinks, chocolates, and other consumer products to its customers automatically after the customer has inputted bills or coins into the machine. (Gondane, 2016). Vending Machines are said to be adaptable to any location, as they need a small space to install one. In the past years, these machines are mostly found in busy locations such as factories, offices, warehouses, and public areas such as airport terminals, railway stations and the alike. Now, these machines are often seen in hospitals, schools, mall lobbies, and comfort rooms. Moreover, Vending Machines give accessibility and convenience to its consumers since they can be installed almost everywhere. Consumer accessibility and convenience includes three components, which are price, time, and effort. Price is a perceived benefit in buying the product and thus, to offer a better and pricey product, it is important to take note of the design and hygiene of the Vending Machines. Time is a critical value since consumers’ purchasing habits is dominated by the time saving factor. Effort defines the consumer convenience since Vending Machines offer fast and standardized service. (Stoyanov, 2014). Vending Machines offer three possible ways of payment method such as cash payment, cashless payment, and non- contact payment. Cash payment is the cheapest mechanism in purchasing from a Vending Machine and is the most popular and widely used by consumers. Cashless payment offers greater convenience for the consumers and more security in cash turnover. However, there is a risk of theft with regard to consumer’s personal information. Non-contact payment gives the consumer the feeling of convenience and security however; this requires significant investment. (Stoyanov, 2014) In line with the